BAIL 2006 Book of Abstracts - Institut für Numerische und ...
BAIL 2006 Book of Abstracts - Institut für Numerische und ... BAIL 2006 Book of Abstracts - Institut für Numerische und ...
M.H. BUSCHMANN, M. GAD-EL-HAK: Turbulent Boundary Layers: Reality and Myth ✬ International Conference on Boundary and Interior Layers—Computational & Asymptotic Methods (BAIL 2006) Abstract of keynote lecture for the Minisymposium on Asymptotic Methods for Laminar and Turbulent Boundary Layers Turbulent Boundary Layers: Reality and Myth Matthias H. Buschmann Privatdozent, Institut für Strömungsmechanik, Technische Universität Dresden, Dresden, Germany Mohamed Gad-el-Hak Caudill Professor and Chair of Mechanical Engineering, Virginia Commonwealth University, Richmond, VA 23284-3015, USA Hundred years after Ludwig Prandtl’s fundamental lecture on boundary layer theory, 1 the meanvelocity profile and the shear-stress distribution of the seemingly simplest case of wall-bounded flow, the zero-pressure-gradient turbulent boundary layer (ZPG TBL), still appears to be terra incognita. Even less is known about confined and semi-confined flows undergoing pressure gradients, such as pipe and channel flows and wall-bounded flows approaching pressure-driven separation. The problem is of course related to the lack of analytical solutions to the instantaneous, nonlinear Navier–Stokes equations that govern the stochastic dependent variables of almost all turbulent flows. What little we know about turbulence comes from experiments and heuristic modeling, not first-principles solutions. (Direct numerical simulations provide firstprinciples integration of the instantaneous Navier–Stokes equations, but are at present limited to modest Reynolds numbers and simple geometries.) Consider a two-dimensional, isothermal, incompressible, steady flow over a body of length L. The fluid may have constant density ρ and constant dynamic viscosity µ. Assuming that the characteristic velocity is U, we write the Reynolds number as Re= !UL µ (1) It was Prandtl’s genius that discovered that, at sufficiently high Reynolds number, a thin shear layer exists close to the body. The thickness of this layer δ is much smaller than L. Due to the strong streamwise velocity gradient normal to the wall, even a small viscosity such as that for air or water can cause considerable viscous shear stress, ! = µ "u "y . Originally Prandtl called this layer therefore Reibungsschicht, which literally translates to friction layer. Introducing the transformation ! ! ! ! ! $ ( x,y ,u ,v , p ) ! & L x,Re % " 1 2 L y,U u,Re " 1 ' 2 2 U v,#U p) ( 1 Prandtl, L., “Über Flüssigkeitsbewegung bei sehr kleiner Reibung,” Proc. Third Int. Math. Cong., pp. 484–491, Heidelberg, Germany, 1904. ✫ M. H. Buschmann & M. Gad-el-Hak, Abstract for BAIL 2006 Speaker: BUSCHMANN, M.H. 32 BAIL 2006 (2) ✩ ✪
M.H. BUSCHMANN, M. GAD-EL-HAK: Turbulent Boundary Layers: Reality and Myth ✬ ✫ into the Navier-Stokes equations and taking the limit Re → ∞, leads to Prandtl’s boundary layer equations The boundary conditions are uu x + vu y = ! p x + u yy ; y = 0 : u = v = 0 and 0 = p y ; y ! " : The task is now to find physically appropriate solution for eqn. (3). ux + v = 0 (3) y u ! U e x ( ) (4) What goals do we have when solving eqn. (3)? One of the main objectives is to find self-similar solutions. Boundary layers are self-similar when normalization can be found so that data of different physical realizations (e.g., experiments in different wind tunnels, profiles at different downstream positions within one experiment) can be collapsed within one single curve. Examples are the mean velocity profiles of the Blasius’ laminar zero-pressure-gradient boundary layer and the fully-developed turbulent flow in pipes. y u( x, y ) u( x, y ) x 1 3 x x 2 Which physical problems do we face when solving eqn. (3)? We neither know if for a certain type of wall-bounded flow a transformation as searched for in the first question exists in general, nor do we know what the transformation parameters are. The physically appropriate transformation is a non-dimensionalization that is much more than simply changing the coordinates. The crucial issue is top choose the scaling based on the physics of the problem. At a minimum, the scale basis has to satisfy two criteria. It should consist of characteristic parameters and represent problem-intrinsic scales. The foundation of dimensional analysis is the Π-theorem formulated by Buckingham. 2 f ( x 1 ,x 2 ,...xn ) 0 Here xi denote the n variables of the system having m dimensions and Δi are the non-dimensional similarity parameters of the problem. 2 Buckingham, E., “On physically similar systems: illustrations of the use of dimensional equations,” Phys. Rev., 2. Ser., vol. 4, pp. 1119–1126, 1914. u( x, y ) Π-theorem y ! Find proper scaling parameters Δ and U = ( 1 2 n m) u( x, y) U F ! , ! ,... ! " = 0 M. H. Buschmann & M. Gad-el-Hak, Abstract for BAIL 2006 Speaker: BUSCHMANN, M.H. 33 BAIL 2006 ✩ ✪
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- Page 38 and 39: G.I. SHISHKIN: A posteriori adapted
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- Page 48 and 49: J.A. MACKENZIE, A. NICOLA: A Discon
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- Page 53: Speaker: Debopam Das, Tapan Sengupt
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M.H. BUSCHMANN, M. GAD-EL-HAK: Turbulent Bo<strong>und</strong>ary Layers: Reality and<br />
Myth<br />
✬<br />
International Conference on Bo<strong>und</strong>ary and Interior Layers—Computational & Asymptotic Methods<br />
(<strong>BAIL</strong> <strong>2006</strong>)<br />
Abstract <strong>of</strong> keynote lecture for the<br />
Minisymposium on Asymptotic Methods for Laminar and Turbulent Bo<strong>und</strong>ary Layers<br />
Turbulent Bo<strong>und</strong>ary Layers: Reality and Myth<br />
Matthias H. Buschmann<br />
Privatdozent, <strong>Institut</strong> <strong>für</strong> Strömungsmechanik, Technische Universität Dresden, Dresden, Germany<br />
Mohamed Gad-el-Hak<br />
Caudill Pr<strong>of</strong>essor and Chair <strong>of</strong> Mechanical Engineering,<br />
Virginia Commonwealth University, Richmond, VA 23284-3015, USA<br />
H<strong>und</strong>red years after Ludwig Prandtl’s f<strong>und</strong>amental lecture on bo<strong>und</strong>ary layer theory, 1 the meanvelocity<br />
pr<strong>of</strong>ile and the shear-stress distribution <strong>of</strong> the seemingly simplest case <strong>of</strong> wall-bo<strong>und</strong>ed<br />
flow, the zero-pressure-gradient turbulent bo<strong>und</strong>ary layer (ZPG TBL), still appears to be terra<br />
incognita. Even less is known about confined and semi-confined flows <strong>und</strong>ergoing pressure<br />
gradients, such as pipe and channel flows and wall-bo<strong>und</strong>ed flows approaching pressure-driven<br />
separation. The problem is <strong>of</strong> course related to the lack <strong>of</strong> analytical solutions to the<br />
instantaneous, nonlinear Navier–Stokes equations that govern the stochastic dependent variables<br />
<strong>of</strong> almost all turbulent flows. What little we know about turbulence comes from experiments and<br />
heuristic modeling, not first-principles solutions. (Direct numerical simulations provide firstprinciples<br />
integration <strong>of</strong> the instantaneous Navier–Stokes equations, but are at present limited to<br />
modest Reynolds numbers and simple geometries.)<br />
Consider a two-dimensional, isothermal, incompressible, steady flow over a body <strong>of</strong> length L.<br />
The fluid may have constant density ρ and constant dynamic viscosity µ. Assuming that the<br />
characteristic velocity is U, we write the Reynolds number as<br />
Re= !UL µ (1)<br />
It was Prandtl’s genius that discovered that, at sufficiently high Reynolds number, a thin shear<br />
layer exists close to the body. The thickness <strong>of</strong> this layer δ is much smaller than L. Due to the<br />
strong streamwise velocity gradient normal to the wall, even a small viscosity such as that for air<br />
or water can cause considerable viscous shear stress, ! = µ "u "y . Originally Prandtl called this<br />
layer therefore Reibungsschicht, which literally translates to friction layer.<br />
Introducing the transformation<br />
! ! ! ! ! $<br />
( x,y<br />
,u ,v , p ) ! & L x,Re<br />
%<br />
" 1<br />
2 L y,U u,Re " 1<br />
'<br />
2 2<br />
U v,#U p)<br />
(<br />
1 Prandtl, L., “Über Flüssigkeitsbewegung bei sehr kleiner Reibung,” Proc. Third Int. Math. Cong., pp. 484–491,<br />
Heidelberg, Germany, 1904.<br />
✫<br />
M. H. Buschmann & M. Gad-el-Hak, Abstract for <strong>BAIL</strong> <strong>2006</strong><br />
Speaker: BUSCHMANN, M.H. 32 <strong>BAIL</strong> <strong>2006</strong><br />
(2)<br />
✩<br />
✪